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Factors associated with child hunger among food insecure households in Bangladesh

Overview of attention for article published in BMC Public Health, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
2 X users
peer_reviews
1 peer review site

Citations

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21 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Factors associated with child hunger among food insecure households in Bangladesh
Published in
BMC Public Health, February 2017
DOI 10.1186/s12889-017-4108-z
Pubmed ID
Authors

Md Ahshanul Haque, Fahmida Dil Farzana, Sabiha Sultana, Mohammad Jyoti Raihan, Ahmed Shafiqur Rahman, Jillian L. Waid, Nuzhat Choudhury, Tahmeed Ahmed

Abstract

Hunger is associated with food insecurity at the household level and is considered as a global public health problem with long term adverse consequences on children's health. This study aims to determine the factors associated with child hunger from a nationally representative sample in Bangladesh among food insecure households. Data was derived from the Food Security and Nutritional Surveillance Project; 14,712 children aged 6-59 months belonging to food insecure households contributed to the analysis. Information on food security at the household level was collected for 30 days preceding the survey. Descriptive statistics served to illustrate the variables studied and multiple logistic regression analysis was conducted to identify the significant risk factors for child hunger. Overall 10% of the children were found to be hungry. After adjusting for seasonality, residence type and education level of household head, the variables - female headed households [OR: 1.87 (1.43-2.45); p < 0.001], severely food insecure households [OR: 10.5 (1.43-76.6); p < 0.05], households having women with no education [OR: 1.56 (1.27-1.92); p < 0.05], poorest asset quintile [OR: 1.50 (1.11-2.15); p < 0.05] and the amount of rice consumed per household per week [OR: 0.94 (0.92-0.96); p < 0.001] were found to be significantly and independently associated with child hunger. Out of the potential risk factors examined, our study found significant and independent association of five variables with child hunger: sex of the household head, household food insecurity status, educational status of household women and asset index. Despite all sampled household being food insecure, degree of household food insecurity status appeared to be the strongest predictor of child hunger.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 16%
Student > Bachelor 13 12%
Student > Ph. D. Student 13 12%
Researcher 12 11%
Other 7 6%
Other 13 12%
Unknown 37 33%
Readers by discipline Count As %
Nursing and Health Professions 21 19%
Medicine and Dentistry 20 18%
Agricultural and Biological Sciences 8 7%
Social Sciences 6 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 14 12%
Unknown 41 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2023.
All research outputs
#852,105
of 24,985,232 outputs
Outputs from BMC Public Health
#889
of 16,647 outputs
Outputs of similar age
#17,491
of 312,556 outputs
Outputs of similar age from BMC Public Health
#21
of 219 outputs
Altmetric has tracked 24,985,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,647 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.